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Improving the accuracy of mangrove forest mapping using sentinel image and developed classification algorithm based on machine learning 利用哨点图像和基于机器学习的分类算法提高红树林绘图的准确性
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-04-08 DOI: 10.1080/14498596.2024.2337747
Anang Dwi Purwanto, Ketut Wikantika, Albertus Deliar, Soni Darmawan, Agung Budi Harto, Muhammad Rokhis Khomarudin, Erwin Riyanto Ardli
{"title":"Improving the accuracy of mangrove forest mapping using sentinel image and developed classification algorithm based on machine learning","authors":"Anang Dwi Purwanto, Ketut Wikantika, Albertus Deliar, Soni Darmawan, Agung Budi Harto, Muhammad Rokhis Khomarudin, Erwin Riyanto Ardli","doi":"10.1080/14498596.2024.2337747","DOIUrl":"https://doi.org/10.1080/14498596.2024.2337747","url":null,"abstract":"The national mangrove rehabilitation required mangrove spatial information with very high accuracy. This study successfully developed the classification algorithm measurable for mapping mangrove fo...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140572590","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new approach for the assessment of urban eco-environmental quality based on remote sensing: a case study of Herat City, Afghanistan 基于遥感的城市生态环境质量评估新方法：阿富汗赫拉特市案例研究
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-04-05 DOI: 10.1080/14498596.2024.2333743
Ahmad Shakib Sahak, Fevzi Karsli
{"title":"A new approach for the assessment of urban eco-environmental quality based on remote sensing: a case study of Herat City, Afghanistan","authors":"Ahmad Shakib Sahak, Fevzi Karsli","doi":"10.1080/14498596.2024.2333743","DOIUrl":"https://doi.org/10.1080/14498596.2024.2333743","url":null,"abstract":"This research assesses Herat City’s urban ecological degradation in 2000, 2013, and 2021 using Landsat and MODIS data. A Mean Remote Sensing Ecological Index (MRESI) is developed by integrating Kno...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140591795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
The spatial-temporal patterns of spring phenology in the temperate grasslands of China and their response mechanisms to climatic factors 中国温带草原春季物候的时空格局及其对气候因子的响应机制
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-04-04 DOI: 10.1080/14498596.2024.2333753
Ruikang Tian, Jianhao Li, Jianghua Zheng, Liang Liu, Yujia Liu, Wanqiang Han, Xinwei Wang
{"title":"The spatial-temporal patterns of spring phenology in the temperate grasslands of China and their response mechanisms to climatic factors","authors":"Ruikang Tian, Jianhao Li, Jianghua Zheng, Liang Liu, Yujia Liu, Wanqiang Han, Xinwei Wang","doi":"10.1080/14498596.2024.2333753","DOIUrl":"https://doi.org/10.1080/14498596.2024.2333753","url":null,"abstract":"Understanding spring phenology dynamics in China’s temperate grasslands is crucial for carbon cycle predictions. Using GIMMS NDVI data (1982–2014), we analyze SOS trends, considering climate variab...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140591760","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Deformation analysis of prefabricated structures in the shaking table test based on density point clouds 基于密度点云的预制结构在振动台试验中的变形分析
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-03-15 DOI: 10.1080/14498596.2024.2325345
Yanping Liu, Dongfeng Jia, Lishuo Zhang
{"title":"Deformation analysis of prefabricated structures in the shaking table test based on density point clouds","authors":"Yanping Liu, Dongfeng Jia, Lishuo Zhang","doi":"10.1080/14498596.2024.2325345","DOIUrl":"https://doi.org/10.1080/14498596.2024.2325345","url":null,"abstract":"In this paper, a point cloud extraction method based on the template grid was proposed for deformation analysis. Firstly, coordinate alignment was carried out by a coarse-to-fine strategy to ensure...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140151575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A cold-start recommendation method for We-map considering co-occurrence collaborative signals and contrastive learning 考虑共现协作信号和对比学习的微信地图冷启动推荐方法
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-03-15 DOI: 10.1080/14498596.2024.2325344
Wenjun Ma, Haowen Yan, Jingzhong Li, Xiaolong Wang, Zhuo Wang, Qili Yang, Xuan Fu
{"title":"A cold-start recommendation method for We-map considering co-occurrence collaborative signals and contrastive learning","authors":"Wenjun Ma, Haowen Yan, Jingzhong Li, Xiaolong Wang, Zhuo Wang, Qili Yang, Xuan Fu","doi":"10.1080/14498596.2024.2325344","DOIUrl":"https://doi.org/10.1080/14498596.2024.2325344","url":null,"abstract":"We-maps, augmenting traditional maps, confront cold-start problems with prevailing recommendation techniques. The Contrastive Collaborative Filtering (CCF) model tackles We-map's cold-start issues ...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140151571","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Coupling video vision transformer (ViVit) into land change simulation: a comparison with three-dimensional convolutional neural network (3DCNN) 将视频视觉转换器（ViVit）与土地变化模拟相结合：与三维卷积神经网络（3DCNN）的比较
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-02-26 DOI: 10.1080/14498596.2024.2312506
Haiyang Li, Liang Fan, Yifan Gao, Zhao Liu, Peichao Gao
{"title":"Coupling video vision transformer (ViVit) into land change simulation: a comparison with three-dimensional convolutional neural network (3DCNN)","authors":"Haiyang Li, Liang Fan, Yifan Gao, Zhao Liu, Peichao Gao","doi":"10.1080/14498596.2024.2312506","DOIUrl":"https://doi.org/10.1080/14498596.2024.2312506","url":null,"abstract":"To enhance land use/cover change (LUCC) simulation accuracy, we introduced ViViT-ANN-CA, blending video vision transformer’s spatio-temporal features extraction ability, artificial neural network‘s...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140004424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Towards perfecting road extraction: the fusion of dilated convolution-based layers and vision transformer 完善道路提取：基于扩张卷积的图层与视觉转换器的融合
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-02-26 DOI: 10.1080/14498596.2024.2309605
K. Madhan Kumar, A. Velayudham
{"title":"Towards perfecting road extraction: the fusion of dilated convolution-based layers and vision transformer","authors":"K. Madhan Kumar, A. Velayudham","doi":"10.1080/14498596.2024.2309605","DOIUrl":"https://doi.org/10.1080/14498596.2024.2309605","url":null,"abstract":"This study addresses challenges in road extraction from remote sensing imagery by introducing a novel approach leveraging Dilated Convolution-based layers and Vision Transformer (ViT). ViT extracts...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-02-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139968521","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Building rooftop extraction from aerial imagery using low complexity UNet variant models 利用低复杂度 UNet 变体模型从航空图像中提取建筑屋顶
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-02-06 DOI: 10.1080/14498596.2024.2302166
Avudaiammal Ramalingam, Vandita Srivastava, Sam V George, Swarnalatha Alagala, Martin Leo Manickam
{"title":"Building rooftop extraction from aerial imagery using low complexity UNet variant models","authors":"Avudaiammal Ramalingam, Vandita Srivastava, Sam V George, Swarnalatha Alagala, Martin Leo Manickam","doi":"10.1080/14498596.2024.2302166","DOIUrl":"https://doi.org/10.1080/14498596.2024.2302166","url":null,"abstract":"Retrieved rooftops from satellite images have enormous applications. The diversity and complexity of the building structures is challenging. This work proposes to extract building rooftops using tw...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-02-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139759557","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Contextual band addition and multi-look inferencing to improve semantic segmentation model performance on satellite images 增加上下文波段和多视角推理，提高卫星图像上语义分割模型的性能
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-02-05 DOI: 10.1080/14498596.2024.2305124
Syed Roshaan Ali Shah, Obaid-Ur- Rehman, Yasir Shabbir, Rana AhmadFaraz Ishaq
{"title":"Contextual band addition and multi-look inferencing to improve semantic segmentation model performance on satellite images","authors":"Syed Roshaan Ali Shah, Obaid-Ur- Rehman, Yasir Shabbir, Rana AhmadFaraz Ishaq","doi":"10.1080/14498596.2024.2305124","DOIUrl":"https://doi.org/10.1080/14498596.2024.2305124","url":null,"abstract":"In this study, we introduce two spatial approaches to enhance semantic segmentation accuracy in remote sensing imagery in resource-constrained computational environments, with a focus on edge regio...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139759561","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Effective hyperspectral image classification based on segmented PCA and 3D-2D CNN leveraging multibranch feature fusion 基于分段 PCA 和利用多分支特征融合的 3D-2D CNN 的有效高光谱图像分类
IF 1.9 4区 地球科学
Journal of Spatial Science Pub Date : 2024-01-30 DOI: 10.1080/14498596.2024.2305119
Masud Ibn Afjal, Md. Nazrul Islam Mondal, Md. Al Mamun
{"title":"Effective hyperspectral image classification based on segmented PCA and 3D-2D CNN leveraging multibranch feature fusion","authors":"Masud Ibn Afjal, Md. Nazrul Islam Mondal, Md. Al Mamun","doi":"10.1080/14498596.2024.2305119","DOIUrl":"https://doi.org/10.1080/14498596.2024.2305119","url":null,"abstract":"We present an innovative hyperspectral image (HSI) classification method addressing challenges posed by closely spaced wavelength bands. Our approach combines 3D-2D convolutional neural networks (C...","PeriodicalId":50045,"journal":{"name":"Journal of Spatial Science","volume":null,"pages":null},"PeriodicalIF":1.9,"publicationDate":"2024-01-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"139759578","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
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